Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.1 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Haddi
1
63 kgChtioui
2
82 kgMancebo
3
64 kgPalini
4
67 kgTipper
6
78 kgLahsaini
7
77 kg
1
63 kgChtioui
2
82 kgMancebo
3
64 kgPalini
4
67 kgTipper
6
78 kgLahsaini
7
77 kg
Weight (KG) →
Result →
82
63
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADDI Soufiane | 63 |
| 2 | CHTIOUI Rafaâ | 82 |
| 3 | MANCEBO Francisco | 64 |
| 4 | PALINI Andrea | 67 |
| 6 | TIPPER Jacob | 78 |
| 7 | LAHSAINI Mouhssine | 77 |